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Statistical analysis with missing data

Author: Roderick J A Little; Donald B Rubin
Publisher: Hoboken, NJ : John Wiley and Sons, Inc. : Wiley, 2020.
Series: Wiley series in probability and statistics.
Edition/Format:   eBook : Document : English : Third editionView all editions and formats
Summary:
AN UP-TO-DATE, COMPREHENSIVE TREATMENT OF A CLASSIC TEXT ON MISSING DATA IN STATISTICS The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches  Read more...
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Genre/Form: Electronic books
Problems and exercises
Problems, exercises, etc
Additional Physical Format: Print version:
Little, Roderick J. A.
Statistical analysis with missing data.
Hoboken, NJ : John Wiley & Sons, Inc., 2020
(DLC) 2018058860
(OCoLC)1080251688
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Roderick J A Little; Donald B Rubin
ISBN: 9781118595695 1118595696
OCLC Number: 1090652796
Notes: Includes index.
Description: 1 online resource.
Contents: Part I Overview and Basic Approaches --
Introduction --
Missing Data in Experiments --
Complete-Case and Available-Case Analysis --
Single Imputation Methods --
Accounting for Uncertainty from Missing Data --
Part II Likelihood-Based Approaches to the Analysis of Data with Missing Values --
Theory of Inference Based on the Likelihood Function --
Factored Likelihood Methods When the Missingness Machanism is Ignorable --
Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse --
Large-Sample Inference Based on Maximum Likelihood Estimates --
Bayes and Multiple Imputation --
Part III Likelihood-Based Approaches to the Analysis of Incomplete Data: Some Examples --
Multivariate Normal Examples, Ignoring the Missingness Mechanism --
Models for Robust Estimation --
Models for Partially Classified Contingency Tables, Ignorning the Missingness Mechanism --
Mixed Normal and Nonnormal Data with Missing Values, Ignoring the Missingness Mechanism --
Missing Not at Random Models.
Series Title: Wiley series in probability and statistics.
Responsibility: Roderick J.A. Little, Donald B. Rubin.

Abstract:

Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third  Read more...

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